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Click the serial number on the left to view the details of the item. |
| # |
Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Tariq Rashid |
Make your own neural network |
PP0024 |
2016 |
Book |
|
| 2 |
Hans Petter Langtangen |
Python scripting for computational science |
025413 |
2008 |
Book |
|
| 3 |
Mark Lutz |
Programming python |
025244 |
2010 |
Book |
|
| 4 |
Mark Lutz |
Learning python: Powerful Object-Oriented Programming |
025241 |
|
Book |
|
| 5 |
David Beazley |
Python cookbook |
025246 |
2013 |
Book |
|
| 6 |
Alex Martelli |
Python in a nutshell |
025248 |
2006 |
Book |
|
| 7 |
Wes McKinney |
Python for data analysis |
025247 |
2012 |
Book |
|
| 8 |
Allen B. Downey |
Python for software design: How to think like a computer scientist |
025271 |
2009 |
Book |
|
| 9 |
Hans Petter Langtangen |
Primer on scientific programming with python |
025406 |
2012 |
Book |
|
| 10 |
David M. Beazley |
Python essential reference : Developers library |
025381 |
2009 |
Book |
|
|
|
8.
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| Title | Python for software design: How to think like a computer scientist |
| Author(s) | Allen B. Downey |
| Publication | Cambridge, Cambridge University Press, 2009. |
| Description | xvi, 251p. |
| Abstract Note | Python for Software Design is a concise introduction to software design using the Python programming language. Intended for people with no programming experience, this book starts with the most basic concepts and gradually adds new material. Some of the ideas students find most challenging, like recursion and object-oriented programming, are divided into a sequence of smaller steps and introduced over the course of several chapters. The focus is on the programming process, with special emphasis on debugging. The book includes a wide range of exercises, from short examples to substantial projects, so that students have ample opportunity to practice each new concept. Exercise solutions and code examples are available from thinkpython.com, along with Swampy, a suite of Python programs that is used in some of the exercises. |
| ISBN,Price | 978-0521725965 : US $46.00(PB) |
| Classification | 681.3.06PYTHON
|
| Keyword(s) | PYTHON
|
| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 025271 |
|
681.3.06PYTHON/DOW/025271 |
On Shelf |
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| 025272 |
|
681.3.06PYTHON/DOW/025272 |
On Shelf |
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+Copy Specific Information |
|
9.
|
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| Title | Primer on scientific programming with python |
| Author(s) | Hans Petter Langtangen |
| Edition | 3rd |
| Publication | Berlin, Springer-Verlag, 2012. |
| Description | xxxii, 792p. |
| Series | (Texts in Computational Science and Engineering) |
| Abstract Note | The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background, and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. |
| ISBN,Price | 978-3642302923 : 59.95(HB) |
| Classification | 681.3.06PYTHON
|
| Keyword(s) | PYTHON
|
| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 025406 |
|
681.3.06PYTHON/LAN/025406 |
On Shelf |
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+Copy Specific Information | |